The 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014
2L5-OS-27b-4
Study of User Interruptibility Estimation reflecting Workers Attitude
∗1
Takahiro Tanaka
∗1
Kazuaki Aoki
∗1
Kinya Fujita
∗1
Graduated school, Tokyo University of Agriculture and Technology
Frequent and uncontrolled interruptions by information systems that do not reflect the user state can result in fragmented working time and decreased intellectual productivity. To avoid adverse interruptions, interruptibility estimation methods based on PC operation information have been proposed. This study focuses on head mo-tions and postures, and the stagnation of task performance, which are expected to reflect worker attitude toward the work. Based on the analysis of the relationship between the head-related parameters PC operation records and interruptibility, we proposed an interruptibility estimation algorithm using four head-related indices and a stagnation-related index that reflect interruptibility during PC work. Improvement of the estimation accuracy was demonstrated by evaluation experiments.
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The 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014
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The 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014
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The 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014
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